| 书目名称 | Metalearning | | 副标题 | Applications to Auto | | 编辑 | Pavel Brazdil,Jan N. van Rijn,Joaquin Vanschoren | | 视频video | | | 概述 | Provide a comprehensive and systematic overview of metalearning.Blends theory and practice, presenting state-of-the-art methodologies.An update edition on the successful first edition https://link.spr | | 丛书名称 | Cognitive Technologies | | 图书封面 |  | | 描述 | .This open access book offers a comprehensive and thorough introduction to almost all aspects of metalearning and automated machine learning (AutoML), covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. It can thus help developers to develop systems that can improve themselves through experience..As one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, AutoML is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary i | | 出版日期 | Book‘‘‘‘‘‘‘‘ 2022Latest edition | | 关键词 | Metalearning; Automating Machine Learning (AutoML); Machine Learning; Artificial Intelligence; algorithm | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-030-67024-5 | | isbn_softcover | 978-3-030-67026-9 | | isbn_ebook | 978-3-030-67024-5Series ISSN 1611-2482 Series E-ISSN 2197-6635 | | issn_series | 1611-2482 | | copyright | The Editor(s) (if applicable) and The Author(s) 2022 |
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发表于 2025-3-21 18:29:59
